Publisher
source

University of Southern Denmark

PhD in Data-driven Critical Raw Material Supply Chain Resilience University of Southern Denmark in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Three-year salaried PhD position. The position is jointly funded through research projects on critical raw material supply chains and material requirements for Denmark’s climate-neutral transition. Monthly gross salary including pension is 37,075 DKK, with possible higher salary step for relevant postgraduate experience. Tuition is not described as waived; employment is contingent on PhD enrolment.

Deadline

Nov 15, 2026

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Country

Denmark

University

University of Southern Denmark

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Keywords

Computer Science
Data Science
Environmental Science
Materials Science
Network Analysis
Industrial Engineering
Spatial Analysis
Earth Science
Industrial Ecology
Statistics
Material Flow
ML

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About this position

University of Southern Denmark (SDU) is recruiting a 3-year PhD position in data-driven critical raw material supply chain resilience at SDU Life Cycle Engineering, Department of Green Technology, Faculty of Engineering, in Odense, Denmark.

The project focuses on how low-carbon technologies, electrification, and digital infrastructure affect demand for critical raw materials, supply dependencies, bottlenecks, and resilience. The research environment combines environmental systems analysis, supply-chain research, and data science, with links to industrial ecology, material flow analysis, circular economy, and sustainability transitions.

The PhD will develop modular, transparent, reusable, and reproducible computational methods for dynamic material flow analysis. Possible methods include network analysis, geospatial analysis, scenario modelling, uncertainty analysis, machine learning, and AI-supported approaches. Application areas include Denmark’s wind-energy infrastructure and infrastructure supporting data centres and AI computing.

Applicants should have a relevant master’s degree and a strong quantitative background. Preferred areas include engineering, industrial ecology, sustainability science, resource management, data science, computer science, applied mathematics, operations research, supply-chain management, geoinformatics, mining, or geological sciences. Programming experience, preferably in Python, and skills in data cleaning, integration, and exploratory analysis are important. Good English and a strong interest in sustainability and critical raw materials are expected.

The position is jointly funded through research projects on critical raw material supply chains and Denmark’s climate-neutral transition. It is a salaried PhD fellowship with a monthly gross salary of 37,075 DKK including pension. The expected start date is 15 February 2027 or as soon as possible thereafter.

To apply, submit the application in English via the SDU recruitment system. Required documents include a CV, motivated application, degree certificates and transcripts, English translations if needed, two recommendation letters, publication list, TEK PhD forms, grading-system documentation if relevant, and examples of thesis work, code, or other research outputs. The deadline is 15 November 2026 at 23:59 CET/CEST.

Funding details

Three-year salaried PhD position. The position is jointly funded through research projects on critical raw material supply chains and material requirements for Denmark’s climate-neutral transition. Monthly gross salary including pension is 37,075 DKK, with possible higher salary step for relevant postgraduate experience. Tuition is not described as waived; employment is contingent on PhD enrolment.

What's required

Applicants must hold a relevant master’s degree or equivalent by the time of enrolment. Preferred backgrounds include engineering, industrial ecology, sustainability science, resource management, data science, computer science, applied mathematics, operations research, supply-chain management, geoinformatics, mining or geological sciences, or another relevant natural science or quantitative discipline. Candidates should have a solid academic foundation in quantitative analysis, system modelling, data science or related methods; experience with programming and data analysis, preferably Python; data handling skills including cleaning, transformation, integration and exploratory analysis; strong analytical and problem-solving skills; ability to work independently and collaboratively in an interdisciplinary environment; good written and spoken English; and a strong interest in sustainability, critical raw materials, and supply-chain resilience. Experience with material flow analysis, network/supply-chain/geospatial analysis, scientific computing, reproducible workflows, statistics, machine learning, AI, optimisation, uncertainty/scenario analysis, trade, production facility or ownership data is an advantage.

How to apply

Apply in English through the SDU online recruitment system. Prepare and upload a CV, motivated application, degree certificates and transcripts, English translations if needed, two recommendation letters, publication list and examples, required TEK PhD forms, grading-system documentation if applicable, and examples of thesis/code/research outputs if available. Follow the SDU application guidance and submit before the deadline.

More information can be found here

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